2. How to Apply Image Blurring for OCR Pre-processing (EasyOCR + OpenCV) скачать в хорошем качестве

2. How to Apply Image Blurring for OCR Pre-processing (EasyOCR + OpenCV)

In this video, we continue our OCR programming series by exploring image blurring techniques in Python with OpenCV. Blurring is a vital preprocessing step that smooths images, reduces noise, and enhances text visibility, making it an essential tool for Optical Character Recognition (OCR). In this tutorial, we cover: 1. An overview of blurring techniques, including Gaussian, Median, Bilateral, and Averaging blur, ranked based on their effectiveness for OCR. 2. How each blur method works, with a focus on Gaussian blur as the most suitable option for general OCR tasks. 3. Practical guidance on adjusting parameters such as kernel size and filter sensitivity to achieve the best results for your specific OCR needs. This video will help you understand the role of image blurring in OCR and how to optimize it to ensure clearer text recognition. Whether you’re working on document scanning, text extraction, or simply improving OCR performance, these techniques will make your workflow more efficient. #ocr #python #opencv #easyocr #textrecognition #imageprocessing #imageblurring #pythontutorial